445 search results - page 22 / 89 » A Bayesian Committee Machine |
129
Voted
JMLR
2002
15 years 3 months ago
2002
Approximate Bayesian Gaussian process (GP) classification techniques are powerful nonparametric learning methods, similar in appearance and performance to support vector machines....
113
Voted
NIPS
2001
15 years 5 months ago
2001
We propose the framework of mutual information kernels for learning covariance kernels, as used in Support Vector machines and Gaussian process classifiers, from unlabeled task da...
143
Voted
MCS
2009
Springer
15 years 10 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
109
Voted
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Lymphangioleiomyomatosis (LAM) is a multisystem disorder associated with proliferation of smooth muscle-like cells, which leads to destruction of lung parenchyma. Subjective gradi...
138
Voted
IJCAI
2003
15 years 5 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...